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Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space


Nov 14, 2021
Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia

* Accepted by NeurIPS 2021 

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Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds


Aug 20, 2021
Longkun Zou, Hui Tang, Ke Chen, Kui Jia


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Neural-to-Tree Policy Distillation with Policy Improvement Criterion


Aug 16, 2021
Zhao-Hua Li, Yang Yu, Yingfeng Chen, Ke Chen, Zhipeng Hu, Changjie Fan


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GLIB: Towards Automated Test Oracle for Graphically-Rich Applications


Jul 15, 2021
Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang

* ESEC/FSE 2021 

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3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding


Mar 31, 2021
Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia

* CVPR2021 accepted paper 

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Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach


Jan 18, 2021
Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia


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3D Object Classification on Partial Point Clouds: A Practical Perspective


Dec 23, 2020
Zelin Xu, Ke Chen, Tong Zhang, C. L. Philip Chen, Kui Jia


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Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering


Dec 08, 2020
Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen

* Journal extension of our preliminary CVPR conference paper, under review, 16 pages, 8 figures, 12 tables 

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LINDT: Tackling Negative Federated Learning with Local Adaptation


Nov 23, 2020
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu


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Feature Importance Ranking for Deep Learning


Oct 18, 2020
Maksymilian Wojtas, Ke Chen

* Accepted by NeurIPS 2020, 5 Figures and 1 Table in Main text, 10 Figures and 5 Tables in Supplementary Materials 

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CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling


Sep 10, 2020
Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia


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POP909: A Pop-song Dataset for Music Arrangement Generation


Aug 17, 2020
Ziyu Wang, Ke Chen, Junyan Jiang, Yiyi Zhang, Maoran Xu, Shuqi Dai, Xianbin Gu, Gus Xia

* In Proceedings of 21st International Conference on Music Information Retrieval (ISMIR), Montreal, Canada (virtual conference), 2020 

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MusPy: A Toolkit for Symbolic Music Generation


Aug 05, 2020
Hao-Wen Dong, Ke Chen, Julian McAuley, Taylor Berg-Kirkpatrick

* Accepted by International Society for Music Information Retrieval Conference (ISMIR), 2020 

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Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm


Aug 04, 2020
Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov

* 8 pages, 8 figures, Proceedings of the 21st International Society for Music Information Retrieval Conference, ISMIR 2020 

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A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation


Jun 14, 2020
Da~Chen, Jack Spencer, Jean-Marie Mirebeau, Ke Chen, Ming-Lei Shu, Laurent D. Cohen


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MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views


Jun 09, 2020
Ke Chen, Ryan Oldja, Nikolai Smolyanskiy, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, Joachim Pehserl

* IROS2020 conference submission, for accompanying video, see https://youtu.be/2ck5_sToayc 

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Compositional Few-Shot Recognition with Primitive Discovery and Enhancing


May 26, 2020
Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian


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Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering


Mar 19, 2020
Hui Tang, Ke Chen, Kui Jia

* 14 pages, 5 figures, 8 tables, accepted by CVPR2020 - Oral 

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A Framework for End-to-End Learning on Semantic Tree-Structured Data


Feb 13, 2020
William Woof, Ke Chen

* This is a preliminary version of our work. The project is still ongoing. The source code for a JSON-based implementation of our framework along with experiments can be downloaded at https://github.com/EndingCredits/json2vec 

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Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions


Feb 05, 2020
Ke Chen, Gus Xia, Shlomo Dubnov

* 9 pages, 12 figures, 4 tables. in 14th international conference on semantic computing, ICSC 2020 

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Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors


Jan 14, 2020
Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhixin Yang

* 10 pages, 7 figures, 9 tables 

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W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression


Dec 26, 2019
Zelin Xu, Ke Chen, Kui Jia

* 10 pages, 5 figures, 3 tables 

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Cascading Convolutional Color Constancy


Dec 24, 2019
Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia

* 9 pages, 5 figures, 4 tables, accepted by AAAI-20 

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Geometry-aware Generation of Adversarial and Cooperative Point Clouds


Dec 24, 2019
Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia


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Towards Further Understanding of Sparse Filtering via Information Bottleneck


Oct 20, 2019
Fabio Massimo Zennaro, Ke Chen

* 8 pages, 5 figures 

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Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge


Sep 17, 2019
Yanlin Qian, Ke Chen, Huanglin Yu

* The 3-page challenge report for the Illumination Estimation Challenge, in the Int'l Workshop on Color Vision, affiliated to the 11th Int'l Symposium on Image and Signal Processing and Analysis (ISPA2019, Dubrovnik, Croatia). Second version 

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